Das | Artificial Intelligence in Highway Engineering | Buch | 978-0-443-44859-1 | www.sack.de

Buch, Englisch, 400 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 449 g

Das

Artificial Intelligence in Highway Engineering

Optimizing Infrastructure and Mobility
Erscheinungsjahr 2027
ISBN: 978-0-443-44859-1
Verlag: Elsevier Science

Optimizing Infrastructure and Mobility

Buch, Englisch, 400 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 449 g

ISBN: 978-0-443-44859-1
Verlag: Elsevier Science

As transportation networks evolve in scale, complexity, and interdependence, artificial intelligence (AI) has emerged as a core enabler of engineering innovation. Artificial Intelligence in Highway Engineering: Optimizing Infrastructure and Mobility responds to this shift with a focused and technically rigorous investigation of AI-driven methods that are fundamentally redefining the design, operation, and strategic management of highway systems.

The volume embraces a truly integrative perspective at the nexus of computational modeling, infrastructure analytics, and transportation engineering to tackle multifaceted, domain-specific challenges. Moving beyond theoretical discourse, it delivers a rich analysis grounded in modern-day practice of how algorithmic models interface with physical assets, the dynamic behaviors of urban environments, and real-world system-level constraints. These insights reveal AI’s capacity to inform long-term infrastructure planning, enable adaptive functionalities, and guide high-stakes decisions in unpredictable operational contexts.

Emphasizing practical implementation and scalability, this valuable reference resource equips academic and industry readers alike with actionable knowledge on seamlessly embedding contemporary AI architectures to boost transportation networks’ performance and strengthen their reliability as well as advance smart mobility solutions.

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Autoren/Hrsg.

Das, Subasish

Fachgebiete

Weitere Infos & Material

Part I: Foundations of Artificial Intelligence in Highway Engineering
1. Introduction to AI in Highway Engineering
2. AI Core Concepts and Methodologies

Part II: AI Applications in Traffic Engineering and Mobility

3. AI for Traffic Flow, Congestion, and Road Safety
4. AI for Automated and Connected Vehicles (CAVs)
5. AI in Public Transportation and Mobility Services

Part III: AI in Infrastructure Management and Data Analytics

6. AI for Transportation Infrastructure Management
7. AI-Powered Data Analytics and Decision Support

Part IV: Emerging Technologies and Future Directions

8. Emerging AI Models and Future Horizons in Highway Engineering

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